METHOD, SYSTEM, ELECTRONIC DEVICE, STORAGE MEDIUM AND COMPUTER PROGRAM PRODUCT FOR ITEM RECOMMENDATION

摘要

A method, system, electronic device, storage medium and computer program product for item recommendation and for model training, which relates to the field of artificial intelligence, are disclosed. According to some embodiments: an item feature expression database is created using a pre-trained user-clicking-item task model and at least two pieces of feature information of items in the repository of items to be recommended; a feature expression of a user is obtained using the pre-trained user-clicking-item task model and at least two pieces of feature information of the user; identifiers of N items to be recommended are obtained according to the feature expression of the user and the item feature expression database; relevant information of the N items is recommended to the user based on the identifiers of the N items. The technical solutions achieve item recommendation by the pre-trained user-clicking-item task model, may effectively reduce the calculation amount, avoid calculation errors and improve recommendation accuracy. Furthermore, the technical solutions may effectively improve the intelligence of item recommendation and enhance item recommendation efficiency.